Christine Orengo

24.4k total citations · 3 hit papers
180 papers, 11.7k citations indexed

About

Christine Orengo is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Christine Orengo has authored 180 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 159 papers in Molecular Biology, 44 papers in Materials Chemistry and 11 papers in Genetics. Recurrent topics in Christine Orengo's work include Protein Structure and Dynamics (71 papers), Machine Learning in Bioinformatics (58 papers) and Genomics and Phylogenetic Studies (58 papers). Christine Orengo is often cited by papers focused on Protein Structure and Dynamics (71 papers), Machine Learning in Bioinformatics (58 papers) and Genomics and Phylogenetic Studies (58 papers). Christine Orengo collaborates with scholars based in United Kingdom, Spain and United States. Christine Orengo's co-authors include Janet M. Thornton, David Lee, Ian Sillitoe, Oliver Redfern, Jonathan Lees, Annabel E. Todd, William R. Taylor, David T. Jones, William R. Taylor and Natalie L. Dawson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Christine Orengo

177 papers receiving 11.5k citations

Hit Papers

Protein superfamilles and... 1989 2026 2001 2013 1994 1989 2020 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Christine Orengo United Kingdom 60 9.9k 3.1k 889 730 444 180 11.7k
Simon C. Lovell United Kingdom 29 9.0k 0.9× 2.6k 0.8× 939 1.1× 1.1k 1.4× 563 1.3× 77 12.0k
Jens Erik Nielsen Ireland 31 6.9k 0.7× 1.6k 0.5× 941 1.1× 814 1.1× 394 0.9× 62 9.6k
Dina Schneidman‐Duhovny United States 41 7.2k 0.7× 1.8k 0.6× 1.3k 1.4× 605 0.8× 574 1.3× 84 10.0k
Gary L. Gilliland United States 53 9.0k 0.9× 2.8k 0.9× 606 0.7× 816 1.1× 594 1.3× 191 11.9k
Tanja Kortemme United States 55 9.1k 0.9× 2.6k 0.8× 902 1.0× 662 0.9× 664 1.5× 100 11.0k
Wim Vranken Belgium 33 6.6k 0.7× 1.6k 0.5× 767 0.9× 636 0.9× 835 1.9× 106 8.8k
Anna Tramontano Italy 55 9.4k 1.0× 2.0k 0.6× 631 0.7× 480 0.7× 434 1.0× 215 12.2k
Liam J. McGuffin United Kingdom 35 7.1k 0.7× 1.7k 0.6× 589 0.7× 765 1.0× 391 0.9× 76 9.0k
Min‐Yi Shen United States 14 7.6k 0.8× 1.3k 0.4× 900 1.0× 941 1.3× 351 0.8× 20 10.4k
M. Michael Gromiha India 51 8.4k 0.8× 2.1k 0.7× 1.1k 1.2× 719 1.0× 482 1.1× 339 10.0k

Countries citing papers authored by Christine Orengo

Since Specialization
Citations

This map shows the geographic impact of Christine Orengo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Christine Orengo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Orengo more than expected).

Fields of papers citing papers by Christine Orengo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christine Orengo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Christine Orengo. The network helps show where Christine Orengo may publish in the future.

Co-authorship network of co-authors of Christine Orengo

This figure shows the co-authorship network connecting the top 25 collaborators of Christine Orengo. A scholar is included among the top collaborators of Christine Orengo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christine Orengo. Christine Orengo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Waman, Vaishali, Paul Ashford, Su Datt Lam, et al.. (2024). Predicting human and viral protein variants affecting COVID-19 susceptibility and repurposing therapeutics. Scientific Reports. 14(1). 14208–14208. 1 indexed citations
2.
Waman, Vaishali, Nicola Bordin, Robert J. Vickerstaff, et al.. (2024). CATH 2024: CATH-AlphaFlow Doubles the Number of Structures in CATH and Reveals Nearly 200 New Folds. Journal of Molecular Biology. 436(17). 168551–168551. 13 indexed citations
3.
Orengo, Christine, et al.. (2023). FunPredCATH: An ensemble method for predicting protein function using CATH. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1872(2). 140985–140985.
4.
Bordin, Nicola, Ian Sillitoe, Michael Heinzinger, et al.. (2023). CATHe: detection of remote homologues for CATH superfamilies using embeddings from protein language models. Bioinformatics. 39(1). 23 indexed citations
5.
Sen, Neeladri, Ivan Anishchenko, Nicola Bordin, et al.. (2022). Characterizing and explaining the impact of disease-associated mutations in proteins without known structures or structural homologs. Briefings in Bioinformatics. 23(4). 17 indexed citations
6.
Perkins, James R., et al.. (2022). Assigning protein function from domain-function associations using DomFun. BMC Bioinformatics. 23(1). 43–43. 13 indexed citations
7.
Rauer, Clemens, Neeladri Sen, Vaishali Waman, Mahnaz Abbasian, & Christine Orengo. (2021). Computational approaches to predict protein functional families and functional sites. Current Opinion in Structural Biology. 70. 108–122. 18 indexed citations
8.
Littmann, Maria, Nicola Bordin, Michael Heinzinger, et al.. (2021). Clustering FunFams using sequence embeddings improves EC purity. Bioinformatics. 37(20). 3449–3455. 15 indexed citations
9.
Das, Sayoni, Harry Scholes, Neeladri Sen, & Christine Orengo. (2020). CATH functional families predict functional sites in proteins. Bioinformatics. 37(8). 1099–1106. 19 indexed citations
10.
Yu‐Wai‐Man, Cynthia, Nicholas Owen, Jonathan Lees, et al.. (2017). Genome-wide RNA-Sequencing analysis identifies a distinct fibrosis gene signature in the conjunctiva after glaucoma surgery. Scientific Reports. 7(1). 5644–5644. 17 indexed citations
11.
Lewis, Tony E., Ian Sillitoe, Natalie L. Dawson, et al.. (2017). Gene3D: Extensive prediction of globular domains in proteins. Nucleic Acids Research. 46(D1). D435–D439. 124 indexed citations
12.
Studer, Romain A., Pascal‐Antoine Christin, Mark A. Williams, & Christine Orengo. (2014). Stability-activity tradeoffs constrain the adaptive evolution of RubisCO. Proceedings of the National Academy of Sciences. 111(6). 2223–2228. 126 indexed citations
13.
Lehtinen, Sonja, Sandra Codlin, Alexander Schmidt, et al.. (2013). Stress induces remodelling of yeast interaction and co-expression networks. Molecular BioSystems. 9(7). 1697–1707. 18 indexed citations
14.
Furnham, Nicholas, Ian Sillitoe, Gemma L. Holliday, et al.. (2012). Exploring the Evolution of Novel Enzyme Functions within Structurally Defined Protein Superfamilies. PLoS Computational Biology. 8(3). e1002403–e1002403. 73 indexed citations
15.
Dessailly, Benoît H., Rajesh Nair, Lukasz Jaroszewski, et al.. (2009). PSI-2: Structural Genomics to Cover Protein Domain Family Space. Structure. 17(6). 869–881. 97 indexed citations
16.
Lee, David, Oliver Redfern, & Christine Orengo. (2007). Predicting protein function from sequence and structure. Nature Reviews Molecular Cell Biology. 8(12). 995–1005. 395 indexed citations
17.
Watson, James D., Alexei Savchenko, A.M. Edwards, et al.. (2007). Towards Fully Automated Structure-based Function Prediction in Structural Genomics: A Case Study. Journal of Molecular Biology. 367(5). 1511–1522. 57 indexed citations
18.
Orengo, Christine, et al.. (2004). BioMap: gene family based integration of heterogeneous biological databases using AutoMed metadata. 384–388. 2 indexed citations
19.
Buchan, Daniel, Adrian J. Shepherd, Frances M. G. Pearl, et al.. (2002). Gene3D: Structural Assignment for Whole Genes and Genomes Using the CATH Domain Structure Database. Genome Research. 12(3). 503–514. 52 indexed citations
20.
Taylor, William R. & Christine Orengo. (1989). A holistic approach to protein structure alignment. Protein Engineering Design and Selection. 2(7). 505–519. 57 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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